/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.flink.table.runtime.operators.over;

import org.apache.flink.streaming.api.operators.OneInputStreamOperator;
import org.apache.flink.streaming.api.operators.StreamOperatorParameters;
import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.data.utils.JoinedRowData;
import org.apache.flink.table.runtime.dataview.PerKeyStateDataViewStore;
import org.apache.flink.table.runtime.generated.AggsHandleFunction;
import org.apache.flink.table.runtime.generated.GeneratedAggsHandleFunction;
import org.apache.flink.table.runtime.generated.GeneratedRecordComparator;
import org.apache.flink.table.runtime.generated.RecordComparator;
import org.apache.flink.table.runtime.operators.TableStreamOperator;
import org.apache.flink.table.runtime.typeutils.AbstractRowDataSerializer;
import org.apache.flink.table.runtime.util.StreamRecordCollector;

/**
 * The operator for OVER window don't need cache data. Then this operator can calculate the
 * accumulator by the current row.
 *
 * <p>Some over windows do not need to buffer data, such as {@code rows between unbounded preceding
 * and 0}, rank, etc. We introduce {@link NonBufferOverWindowOperator} to reduce the overhead of
 * data copy in buffer.
 *
 * <p>NOTE: Use {@link NonBufferOverWindowOperator} only when all frames do not need buffer data.
 */
public class NonBufferOverWindowOperator extends TableStreamOperator<RowData>
        implements OneInputStreamOperator<RowData, RowData> {

    private GeneratedAggsHandleFunction[] aggsHandlers;
    private GeneratedRecordComparator genComparator;
    private final boolean[] resetAccumulators;

    private RecordComparator partitionComparator;
    private RowData lastInput;
    private AggsHandleFunction[] processors;
    private JoinedRowData[] joinedRows;
    private StreamRecordCollector<RowData> collector;
    private AbstractRowDataSerializer<RowData> serializer;

    public NonBufferOverWindowOperator(
            GeneratedAggsHandleFunction[] aggsHandlers,
            GeneratedRecordComparator genComparator,
            boolean[] resetAccumulators) {
        this(null, aggsHandlers, genComparator, resetAccumulators);
    }

    public NonBufferOverWindowOperator(
            StreamOperatorParameters<RowData> parameters,
            GeneratedAggsHandleFunction[] aggsHandlers,
            GeneratedRecordComparator genComparator,
            boolean[] resetAccumulators) {
        super(parameters);
        this.aggsHandlers = aggsHandlers;
        this.genComparator = genComparator;
        this.resetAccumulators = resetAccumulators;
    }

    @Override
    public void open() throws Exception {
        super.open();

        ClassLoader cl = getUserCodeClassloader();
        serializer = (AbstractRowDataSerializer) getOperatorConfig().getTypeSerializerIn1(cl);
        partitionComparator = genComparator.newInstance(cl);
        genComparator = null;

        collector = new StreamRecordCollector<>(output);
        processors = new AggsHandleFunction[aggsHandlers.length];
        joinedRows = new JoinedRowData[aggsHandlers.length];
        for (int i = 0; i < aggsHandlers.length; i++) {
            AggsHandleFunction func = aggsHandlers[i].newInstance(cl);
            func.open(new PerKeyStateDataViewStore(getRuntimeContext()));
            processors[i] = func;
            joinedRows[i] = new JoinedRowData();
        }
        aggsHandlers = null;
    }

    @Override
    public void processElement(StreamRecord<RowData> element) throws Exception {
        RowData input = element.getValue();
        boolean changePartition =
                lastInput == null || partitionComparator.compare(lastInput, input) != 0;

        // calculate the ACC
        RowData output = input;
        for (int i = 0; i < processors.length; i++) {
            AggsHandleFunction processor = processors[i];

            if (changePartition || resetAccumulators[i]) {
                processor.setAccumulators(processor.createAccumulators());
            }

            // TODO Reform AggsHandleFunction.getValue instead of use JoinedRowData. Multilayer
            // JoinedRowData is slow.
            processor.accumulate(input);
            RowData value = processor.getValue();
            output = joinedRows[i].replace(output, value);
        }
        collector.collect(output);

        if (changePartition) {
            lastInput = serializer.copy(input);
        }
    }
}
